Data mining provides educational institutions the capability to explore, visualize and analyze large amounts of data in order to reveal valuable patterns in students' learning behaviors without having to resort to traditional survey methods. Turning raw data into useful information and knowledge also enables educational institutions to improve teaching and learning practices, and to facilitate the decision-making process in educational settings. Thus, it is becoming important for researchers to exploit the abundant data generated by various educational systems for enhancing teaching, learning and decision making.

In addition, the development and training of teachers in regional area can be also improved by adopting smart techniques in the big data age. How to get these tasks done smartly and effectively is another important issue that could be potentially addressed in Big data age.

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Topics of Interest
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Papers are invited in the areas below, but do not exclude research in the general areas of the topic headings.